GLMB tracker with partial smoothing

GLMB tracker with partial smoothing

In this paper, we introduce a tracking algorithm based on labeled Random Finite Sets (RFS) and Rauch–Tung–Striebel (RTS) smoother via a Generalized Labeled Multi-Bernoulli (GLMB) multi-scan estimator to track multiple objects in a wide range of tracking scenarios. In the forward filtering stage, we...

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Bibliographic Details
Main Authors: Nguyen, Tran Thien Dat, Kim, Du Yong
Format: Journal Article
Language:English
Published: MDPI 2019
Subjects:
Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
labeled RFS
RTS smoother
GLMB filter
BEFORE-DETECT ALGORITHM
MULTI-BERNOULLI FILTER
RANDOM FINITE SETS
CPHD FILTER
IMPLEMENTATION
TIME
Online Access:http://purl.org/au-research/grants/arc/DP160104662
http://hdl.handle.net/20.500.11937/91012

Internet

http://purl.org/au-research/grants/arc/DP160104662
http://hdl.handle.net/20.500.11937/91012

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